{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "tf.enable_eager_execution()\n",
    "from model import DepthEstimate\n",
    "\n",
    "model = DepthEstimate()\n",
    "checkpoint_path = \"training_1/cp.ckpt\"\n",
    "model.load_weights(checkpoint_path)\n",
    "\n",
    "print('Model weights loaded.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load and evalute on Eigen's test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from evaluate import load_test_data, evaluate\n",
    "\n",
    "rgb, depth, crop = load_test_data()\n",
    "evaluate(model, rgb, depth, crop)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:tf_gpu] *",
   "language": "python",
   "name": "conda-env-tf_gpu-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
